Work-life, diversity and intersectionality: a critical review and research agenda

Work-life issues have important implications at both organizational and individual levels. This paper provides a critical review of the work-life literature from 1990 onwards through the lens of diversity, with a particular focus on disparities of power induced by methodological and conceptual framings of work and life. The review seeks to answer the following questions: What are the gaps and omissions in the work-life research? How may they be overcome? To answer these questions, the review scrutinizes blind spots in the treatment of life, diversity and power in work-life research in both positivist and critical scholarship. In order to transcend the blind spots in positivist and critical work-life research, the review argues the case for an intersectional approach which captures the changing realities of family and workforce through the lens of diversity and intersectionality. The theoretical contribution is threefold: first, the review demonstrates that contemporary framing of life in the work-life literature should be expanded to cover aspects of life beyond domestic life. Second, the review explains why and how other strands of diversity than gender also manifest as salient causes of difference in experiences of the work-life interface. Third, the review reveals that social and historical context has more explanatory power in work-life dynamics than the micro-individual level of explanations. Work-life literature should capture the dynamism in these contexts. The paper also provides a set of useful recommendations to capture and operationalize methodological and theoretical changes required in the work-life literature

Empirical evaluation of computational emotional contagion models

Abstract. In social psychology, emotional contagion describes the widely observed phenomenon of one person’s emotions being influenced by surrounding people’s emotions. While the overall effect is agreed upon, the underlying mechanism of the spread of emotions has seen little quantification and application to computational agents despite extensive evidence of its impacts in everyday life. In this paper, we examine computational models of emotional contagion by implementing two models ([2] and [8]) that draw from two separate lines of contagion research: thermodynamics-based and epidemiological-based. We first perform sensitivity tests on each model in an evacuation simulation, ESCAPES, showing both models to be reasonably robust to parameter variations with certain exceptions. We then compare their ability to reproduce a real crowd panic scene in simulation, showing that the thermodynamics-style model ([2]) produces superior results due to the ill-suited contagion mechanism at the core of epidemiological models. We also identify that a graduated effect of fear and proximity-based contagion effects are key to producing the superior results. We then reproduce the methodology on a second video, showing that the same results hold, implying generality of the conclusions reached in the first scene.